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Learning IPython for Interactive Computing and Data Visualization, Second Edition

You're reading from   Learning IPython for Interactive Computing and Data Visualization, Second Edition Get started with Python for data analysis and numerical computing in the Jupyter notebook

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Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781783986989
Length 200 pages
Edition 1st Edition
Languages
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Author (1):
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Cyrille Rossant Cyrille Rossant
Author Profile Icon Cyrille Rossant
Cyrille Rossant
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Toc

Further plotting and visualization libraries


Beyond matplotlib and seaborn, there are many other plotting and visualization libraries in the Python ecosystem. We give an overview in this section.

High-level plotting

Here are a few high-level plotting libraries in Python.

Bokeh

Bokeh is a web-based, general-purpose, and fast visualization toolkit. It integrates well with the rest of the Python ecosystem and generates interactive plots that don't necessarily require a live Python server.

Bokeh

Here are a few references:

Vincent and Vega

Vega is a language-agnostic visualization grammar. Vega figures can be converted to interactive HTML visualizations. The Vincent library makes it easy to write Vega figures from Python.

Vega and Vincent

Here are some references:

Plotly

Plotly (https://plot.ly/) is a commercial...

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